메뉴 건너뛰기




Volumn 2423, Issue , 2002, Pages 167-178

Multiple classifier combination for character recognition: Revisiting the majority voting system and its variations

Author keywords

Character recognition; Majority voting; Multiple classifier combination

Indexed keywords

DECISION THEORY;

EID: 84947791171     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45869-7_21     Document Type: Conference Paper
Times cited : (52)

References (38)
  • 3
    • 0033463754 scopus 로고    scopus 로고
    • Serial combination of multiple experts: A unified evaluation
    • A. F. R. Rahman and M. C. Fairhurst. Serial combination of multiple experts: A unified evaluation. Pattern Analysis and Applications, 2: 292-311, 1999.
    • (1999) Pattern Analysis and Applications , vol.2 , pp. 292-311
    • Rahman, A.F.R.1    Fairhurst, M.C.2
  • 4
    • 0032678632 scopus 로고    scopus 로고
    • Enhancing multiple expert decision combination strategies through exploitation of a priori information sources
    • A. F. R. Rahman and M. C. Fairhurst. Enhancing multiple expert decision combination strategies through exploitation of a priori information sources. IEE Proc. on Vision, Image and Signal Processing, 146(1): 1-10, 1999.
    • (1999) IEE Proc. on Vision, Image and Signal Processing , vol.146 , Issue.1 , pp. 1-10
    • Rahman, A.F.R.1    Fairhurst, M.C.2
  • 8
    • 0031238275 scopus 로고    scopus 로고
    • Application of majority voting to pattern recognition: An analysis of its behavior and performance
    • L. Lam and C. Y. Suen. Application of majority voting to pattern recognition: An analysis of its behavior and performance. IEEE Trans. Pattern Analysis and Machine Intelligence, 27(5): 553-568, 1997.
    • (1997) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.27 , Issue.5 , pp. 553-568
    • Lam, L.1    Suen, C.Y.2
  • 12
    • 0001572787 scopus 로고
    • Recognition of totally unconstrained handwritten numerals based on the concept of multiple experts
    • Montréal, Canada
    • C. Y. Suen, C. Nadal, T. A. Mai, R. Legault, and L. Lam. Recognition of totally unconstrained handwritten numerals based on the concept of multiple experts. In Proc. IWFHR, pages 131-143, Montréal, Canada, 1990.
    • (1990) Proc. IWFHR , pp. 131-143
    • Suen, C.Y.1    Nadal, C.2    Mai, T.A.3    Legault, R.4    Lam, L.5
  • 13
    • 0032124343 scopus 로고    scopus 로고
    • Democracy in pattern classifications: Combinations of votes from various pattern classifiers
    • G. S. Ng and H. Singh. Democracy in pattern classifications: Combinations of votes from various pattern classifiers. Artificial Intelligence in Engineering, 12(3): 189-204, 1998.
    • (1998) Artificial Intelligence in Engineering , vol.12 , Issue.3 , pp. 189-204
    • Ng, G.S.1    Singh, H.2
  • 15
    • 27344435078 scopus 로고
    • Use of many classifiers for multifont text recognition
    • A. Belaid and J. C. Anigbogu. Use of many classifiers for multifont text recognition. Traitement du Signal, 11(1): 57-75, 1994.
    • (1994) Traitement du Signal , vol.11 , Issue.1 , pp. 57-75
    • Belaid, A.1    Anigbogu, J.C.2
  • 17
    • 0030736561 scopus 로고    scopus 로고
    • Combination of weak classfiers
    • C. Ji and S. Ma. Combination of weak classfiers. IEEE Trans. on Neural Networks, 8(1): 32-42, 1997.
    • (1997) IEEE Trans. on Neural Networks , vol.8 , Issue.1 , pp. 32-42
    • Ji, C.1    Ma, S.2
  • 18
    • 27244433141 scopus 로고
    • Improved classification accuracy by training multiple models and taking a vote
    • E. Alpaydin. Improved classification accuracy by training multiple models and taking a vote. In Sixth Italian Workshop. Neural Nets Wirn Vietri-93, pages 180-185, 1994.
    • (1994) Sixth Italian Workshop. Neural Nets Wirn Vietri-93 , pp. 180-185
    • Alpaydin, E.1
  • 20
    • 84947732440 scopus 로고
    • Recognition of printed and handwritten numerals using multiple features and modularized neural networks
    • S. R. Gang, T. K. Woo, and I. C. Sung. Recognition of printed and handwritten numerals using multiple features and modularized neural networks. Journal of the Korean Institute of Telematics, 32B(10): 101-1111, 1995.
    • (1995) Journal of the Korean Institute of Telematics , vol.32 B , Issue.10 , pp. 101-1111
    • Gang, S.R.1    Woo, T.K.2    Sung, I.C.3
  • 21
    • 0031100515 scopus 로고    scopus 로고
    • Exploiting second order information to design a novel multiple expert decision combination platform for pattern classification
    • A. F. R. Rahman and M. C. Fairhurst. Exploiting second order information to design a novel multiple expert decision combination platform for pattern classification. Electronics Letters, 33(6): 476-477, 1997.
    • (1997) Electronics Letters , vol.33 , Issue.6 , pp. 476-477
    • Rahman, A.F.R.1    Fairhurst, M.C.2
  • 26
    • 85026598778 scopus 로고
    • On multiple classifier systems for pattern recognition
    • The Hague, Netherlands
    • T. K. Ho, J. J. Hull, and S. N. Srihari. On multiple classifier systems for pattern recognition. In Proc. 11th ICPR, pages 84-87, The Hague, Netherlands, 1992.
    • (1992) Proc. 11th ICPR , pp. 84-87
    • Ho, T.K.1    Hull, J.J.2    Srihari, S.N.3
  • 27
    • 0024902340 scopus 로고
    • The combination of forecasts: A ranking and subset selection approach
    • Q. P. Duong. The combination of forecasts: A ranking and subset selection approach. Mathematical and Computer Modelling, 12(9): 1131-1143, 1989.
    • (1989) Mathematical and Computer Modelling , vol.12 , Issue.9 , pp. 1131-1143
    • Duong, Q.P.1
  • 28
    • 0023188567 scopus 로고
    • Solving of optimisation and identification problems by the committee methods
    • V. D. Mazurov, A. I. Krivonogov, and V. L. Kazantsev. Solving of optimisation and identification problems by the committee methods. Pattern Recognition, 20(4): 371-378, 1987.
    • (1987) Pattern Recognition , vol.20 , Issue.4 , pp. 371-378
    • Mazurov, V.D.1    Krivonogov, A.I.2    Kazantsev, V.L.3
  • 30
    • 0026367884 scopus 로고
    • Handwritten numeral recognition based on multiple algorithms
    • F. Kimura and M. Shridhar. Handwritten numeral recognition based on multiple algorithms. Pattern Recognition, 24(10): 969-983, 1991.
    • (1991) Pattern Recognition , vol.24 , Issue.10 , pp. 969-983
    • Kimura, F.1    Shridhar, M.2
  • 32
    • 0042613859 scopus 로고    scopus 로고
    • Adaptive coordination of multiple classifiers
    • Malvern, Pennsylvalia, USA
    • T. K. Ho. Adaptive coordination of multiple classifiers. In Proc. of Int. Workshop on Document Analysis Systems, pages 338-351, Malvern, Pennsylvalia, USA, 1996.
    • (1996) Proc. of Int. Workshop on Document Analysis Systems , pp. 338-351
    • Ho, T.K.1
  • 33
    • 84947769897 scopus 로고    scopus 로고
    • NIST Special Databases 1-3, 6-8, 19, 20, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA
    • NIST Special Databases 1-3, 6-8, 19, 20, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.
  • 34
    • 0032167288 scopus 로고    scopus 로고
    • An evaluation of multi-expert configurations for recognition of handwritten numerals
    • A. F. R. Rahman and M. C. Fairhurst. An evaluation of multi-expert configurations for recognition of handwritten numerals. Pattern Recognition, 31(9): 1255-1273, 1998.
    • (1998) Pattern Recognition , vol.31 , Issue.9 , pp. 1255-1273
    • Rahman, A.F.R.1    Fairhurst, M.C.2
  • 35
    • 84893436014 scopus 로고    scopus 로고
    • Towards the design of a generic multiple expert image classification system capable of automatic self-configuration
    • Québec, Canada
    • A. F. R. Rahman and M. C. Fairhurst. Towards the design of a generic multiple expert image classification system capable of automatic self-configuration. In Proc. Int. Conf. on Quality Control by Artificial Vision (QCAV'99), pages 259-264, Québec, Canada, 1999.
    • (1999) Proc. Int. Conf. on Quality Control by Artificial Vision (QCAV'99) , pp. 259-264
    • Rahman, A.F.R.1    Fairhurst, M.C.2
  • 36
    • 0031073303 scopus 로고    scopus 로고
    • A generalised approach to the recognition of structurally similar handwritten characters
    • M. C. Fairhurst and A. F. R. Rahman. A generalised approach to the recognition of structurally similar handwritten characters. IEE Proc. on Vision, Image and Signal Processing, 144(1): 15-22, 1997.
    • (1997) IEE Proc. on Vision, Image and Signal Processing , vol.144 , Issue.1 , pp. 15-22
    • Fairhurst, M.C.1    Rahman, A.F.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.